Research

My research spans two areas. On the scientific side I work on computer-vision pipelines for high-throughput microscopy in cancer research, mostly drug-response and cell-spheroid analyses. On the applied side I work on language-model systems for the enterprise, with a particular focus on AI security and on the engineering practices that keep these systems honest in production. The publications below cover both threads.

Publications

1. Rittick Barua, Kevin McCay, Mohammed Al-Khalidi, Yonghong Peng, Jamie Crossman-Smith
   Cyber security risks to artificial intelligence (Whitepaper)
   Department of Science, Innovation and Technology, 2024
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2. Adam Colbourne, Thomas Blythe, Rittick Barua, Sean Lovett, Jonathan Mitchell, Andrew Sederman, Lynn F. Gladden
   Validation of a low field Rheo-NMR instrument and application to shear-induced migration of suspended non-colloidal particles in Couette flow
   Journal of Magnetic Resonance, 2018
   Paper →  ·  DOI

3. Rittick Barua, K. Lee, N. Mills, S. Ouki, R. Thorpe
   The effects of steam explosion and hydrolysing time on the digestibility of sewage sludge in anaerobic digestion
   AquaEnviro conference proceedings, 2014
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